@article{ZemelDayanPouget98,
title = {Probabilistic interpretation of population codes.},
address = {Department of Psychology and Computer Science, University of Arizona,
Tucson 85721, USA.},
author = {R S Zemel and P Dayan and A Pouget},
journal = {Neural Comput},
number = {2},
pages = {403--430},
volume = {10},
year = {1998},
description = {CCNLab BibTeX},
abstract = {We present a general encoding-decoding framework for interpreting
the activity of a population of units. A standard population code
interpretation method, the Poisson model, starts from a description
as to how a single value of an underlying quantity can generate the
activities of each unit in the population. In casting it in the encoding-decoding
framework, we find that this model is too restrictive to describe
fully the activities of units in population codes in higher processing
areas, such as the medial temporal area. Under a more powerful model,
the population activity can convey information not only about a single
value of some quantity but also about its whole distribution, including
its variance, and perhaps even the certainty the system has in the
actual presence in the world of the entity generating this quantity.
We propose a novel method for forming such probabilistic interpretations
of population codes and compare it to the existing method.},
date-added = {2008-06-06 12:09:45 -0600}, pst = {ppublish}, pmid = {9472488}, issn = {0899-7667 (Print)}, jt = {Neural computation}, lr = {20071114}, edat = {1998/02/24}, rf = {32}, date-modified = {2008-06-06 12:09:55 -0600}, mhda = {1998/02/24 00:01}, mh = {*Data Interpretation, Statistical; *Models, Neurological; *Models,
Statistical; Neurons/*physiology; Poisson Distribution; *Probability}, jid = {9426182}, dcom = {19980310}, pubm = {Print}, da = {19980310}, so = {Neural Comput. 1998 Feb 15;10(2):403-30.}, stat = {MEDLINE}, au = {Zemel, RS and Dayan, P and Pouget, A}, sb = {IM}, pt = {Journal Article; Research Support, Non-U. S. Gov't; Research Support,
U. S. Gov't, Non-P. H.S.; Research Support, U. S. Gov't, P. H.S.;
Review}, pl = {UNITED STATES}, own = {NLM}, language = {eng}, gr = {R29 MH 55541-01/MH/United States NIMH},
keywords = {imported }
}
::